62.1 SCOPE vs STOP

- Outcomes: Prolactin, hPL, GH2, Insulin, HOME-IR, glucose (all outcomes log-transformed)
- Independent variables: Study, f39_gdm_new, BMI, Ethnicity (Caucasian/non-Caucasian), smoking (yes/no), GA at sampling
- Model fitted: LME or GEE model
      log(hormones) ~ Study + GA at sampling + Study:GA at sampling
      Random intercepts for Study ID and Plate

#outc_ls <- c("Prolactin","HPL","GH2")
outc_ls <- c(hormone_var,insulin_var)
outc2 <- preg_out

# fit LME
fit_ls <- lapply(outc_ls,function(outc){
    if(outc%in%hormone_var){ #LME for hormones
     fit_eq <- as.formula(paste0("log(",outc,")~ Study + ",outc2," + BMI + Ethnicity_cauc + f10c_any_cig_1st_vst + GA_samp + Study*",outc2," + (1|Study.ID) + (1|Assay.",outc,")"))
     fit <- eval(bquote(lmer(.(fit_eq),data=dat_run)))}
    if(outc%in%insulin_var){ #GEE for insulin
        fit_eq <- as.formula(paste0("log(",outc,")~ Study + ",outc2,"+BMI+Ethnicity_cauc+f10c_any_cig_1st_vst+GA_samp+Study*",outc2))
        dat_tmp <- na.omit(dat_run[with(dat_run,order(Study,Study.ID)),c("Study","Study.ID","GA_samp","BMI","Ethnicity_cauc","f10c_any_cig_1st_vst",outc,outc2)])
        fit <- eval(bquote(geeglm(.(fit_eq),data=dat_tmp,id=Study.ID,corstr="independence")))}
             return(fit)})
names(fit_ls) <- outc_ls

# Type III SS
anova_ls <- lapply(fit_ls,function(fit){
               if(!any(class(fit)%in%"gee")){return(Anova(fit,type="III"))}
               if(any(class(fit)%in%"gee")){return(joint_tests(fit,cov.reduce=symmint(0)))}})

62.1.1 Global tests

Type III ANOVA on main and interaction effects, and LM model summaries.

Prolactin
Chisq Df Pr(>Chisq)
(Intercept) 250.7924480 1 <0.0001 ***
Study 3.2136720 1 0.07 ns
f39_gdm_new 0.5754347 1 0.4 ns
BMI 3.3368238 1 0.07 ns
Ethnicity_cauc 105.4219556 1 <0.0001 ***
f10c_any_cig_1st_vst 49.1590682 1 <0.0001 ***
GA_samp 164.6323095 1 <0.0001 ***
Study:f39_gdm_new 1.8652579 1 0.2 ns
HPL
Chisq Df Pr(>Chisq)
(Intercept) 150.8759535 1 <0.0001 ***
Study 7.3986291 1 0.007 **
f39_gdm_new 0.4357432 1 0.5 ns
BMI 236.2094019 1 <0.0001 ***
Ethnicity_cauc 5.5165373 1 0.02 *
f10c_any_cig_1st_vst 0.9176455 1 0.3 ns
GA_samp 2601.9722143 1 <0.0001 ***
Study:f39_gdm_new 1.4845286 1 0.2 ns
GH2
Chisq Df Pr(>Chisq)
(Intercept) 251.096669 1 <0.0001 ***
Study 1.107622 1 0.3 ns
f39_gdm_new 1.386104 1 0.2 ns
BMI 87.622496 1 <0.0001 ***
Ethnicity_cauc 3.246832 1 0.07 ns
f10c_any_cig_1st_vst 1.039153 1 0.3 ns
GA_samp 1032.266869 1 <0.0001 ***
Study:f39_gdm_new 3.376951 1 0.07 ns
Insulin
model term df1 df2 F.ratio Chisq p.value
1 Study 1 Inf 21.326 21.326 <0.0001 ***
3 f39_gdm_new 1 Inf 33.726 33.726 <0.0001 ***
4 BMI 1 Inf 330.722 330.722 <0.0001 ***
5 Ethnicity_cauc 1 Inf 25.046 25.046 <0.0001 ***
6 f10c_any_cig_1st_vst 1 Inf 3.158 3.158 0.08 ns
7 GA_samp 1 Inf 2.506 2.506 0.1 ns
2 Study:f39_gdm_new 1 Inf 4.089 4.089 0.04 *
HOMA.IR
model term df1 df2 F.ratio Chisq p.value
1 Study 1 Inf 36.051 36.051 <0.0001 ***
3 f39_gdm_new 1 Inf 32.027 32.027 <0.0001 ***
4 BMI 1 Inf 316.807 316.807 <0.0001 ***
5 Ethnicity_cauc 1 Inf 24.882 24.882 <0.0001 ***
6 f10c_any_cig_1st_vst 1 Inf 2.618 2.618 0.1 ns
7 GA_samp 1 Inf 1.602 1.602 0.2 ns
2 Study:f39_gdm_new 1 Inf 4.361 4.361 0.04 *
GLUC3_mmol.L
model term df1 df2 F.ratio Chisq p.value
1 Study 1 Inf 53.182 53.182 <0.0001 ***
3 f39_gdm_new 1 Inf 4.345 4.345 0.04 *
4 BMI 1 Inf 11.449 11.449 0.0007 ***
5 Ethnicity_cauc 1 Inf 0.718 0.718 0.4 ns
6 f10c_any_cig_1st_vst 1 Inf 0.028 0.028 0.9 ns
7 GA_samp 1 Inf 0.278 0.278 0.6 ns
2 Study:f39_gdm_new 1 Inf 1.558 1.558 0.2 ns

62.1.2 Model Summary

Model summaries.

## Computing profile confidence intervals ...
## Computing profile confidence intervals ...
## Computing profile confidence intervals ...
Prolactin
Var Effect P
(Intercept) 19.27 (13.37, 27.77) <0.0001
StudySTOP 0.91 (0.82, 1.01) 0.07
f39_gdm_newGDM 0.93 (0.76, 1.13) 0.45
BMI 1.00 (0.99, 1.00) 0.07
Ethnicity_caucNo 1.54 (1.42, 1.68) <0.0001
f10c_any_cig_1st_vstYes 0.79 (0.73, 0.84) <0.0001
GA_samp 1.14 (1.12, 1.17) <0.0001
StudySTOP:f39_gdm_newGDM 1.16 (0.94, 1.44) 0.17
HPL
Var Effect P
(Intercept) 3.24 (2.69, 3.91) <0.0001
StudySTOP 1.08 (1.02, 1.14) 0.007
f39_gdm_newGDM 0.97 (0.88, 1.06) 0.51
BMI 0.98 (0.98, 0.98) <0.0001
Ethnicity_caucNo 1.05 (1.01, 1.10) 0.02
f10c_any_cig_1st_vstYes 1.02 (0.98, 1.06) 0.34
GA_samp 1.33 (1.32, 1.35) <0.0001
StudySTOP:f39_gdm_newGDM 1.07 (0.96, 1.19) 0.22
GH2
Var Effect P
(Intercept) 0.12 (0.09, 0.16) <0.0001
StudySTOP 0.96 (0.89, 1.04) 0.29
f39_gdm_newGDM 0.92 (0.79, 1.06) 0.24
BMI 0.99 (0.98, 0.99) <0.0001
Ethnicity_caucNo 1.06 (0.99, 1.13) 0.07
f10c_any_cig_1st_vstYes 1.03 (0.98, 1.08) 0.31
GA_samp 1.29 (1.27, 1.31) <0.0001
StudySTOP:f39_gdm_newGDM 1.16 (0.99, 1.36) 0.07
Insulin
Var Effect P
(Intercept) 2.65 (1.67, 4.18) <0.0001
StudySTOP 0.76 (0.66, 0.88) 0.0002
f39_gdm_newGDM 1.71 (1.36, 2.16) <0.0001
BMI 1.05 (1.05, 1.06) <0.0001
Ethnicity_caucNo 1.37 (1.21, 1.56) <0.0001
f10c_any_cig_1st_vstYes 0.92 (0.83, 1.01) 0.08
GA_samp 1.02 (0.99, 1.05) 0.11
StudySTOP:f39_gdm_newGDM 0.76 (0.58, 0.99) 0.04
HOMA.IR
Var Effect P
(Intercept) 0.63 (0.39, 1.02) 0.06
StudySTOP 0.65 (0.56, 0.76) <0.0001
f39_gdm_newGDM 1.84 (1.40, 2.42) <0.0001
BMI 1.05 (1.05, 1.06) <0.0001
Ethnicity_caucNo 1.40 (1.22, 1.59) <0.0001
f10c_any_cig_1st_vstYes 0.92 (0.83, 1.02) 0.11
GA_samp 1.02 (0.99, 1.05) 0.21
StudySTOP:f39_gdm_newGDM 0.72 (0.53, 0.98) 0.04
GLUC3_mmol.L
Var Effect P
(Intercept) 5.23 (4.75, 5.75) <0.0001
StudySTOP 0.87 (0.84, 0.89) <0.0001
f39_gdm_newGDM 1.10 (0.99, 1.22) 0.09
BMI 1.00 (1.00, 1.00) 0.0007
Ethnicity_caucNo 1.01 (0.99, 1.03) 0.40
f10c_any_cig_1st_vstYes 1.00 (0.98, 1.02) 0.87
GA_samp 1.00 (0.99, 1.00) 0.60
StudySTOP:f39_gdm_newGDM 0.93 (0.84, 1.04) 0.21

62.1.3 Diagnostics

Model diagnositcs.

Diagnositcs for PRL (ng/ml)

Diagnositcs for hPL (μg/ml)

Diagnositcs for GH2 (ng/ml)

Diagnositcs for Insulin (uU/ml)

Diagnositcs for HOMA-IR

Diagnositcs for Glucose (mmol/L)

62.1.4 Results

62.1.4.1 Estimated means

Estimated marginal means (or adjusted means) adjusted for GA at sampling, BMI, ethnicity and smoking.

em_eq <- as.formula(paste0("pairwise~Study*",outc2))
#fit_em <- lapply(fit_ls,function(x){emmeans(x,em_eq,type="response")})
fit_em <- foreach(ind2=1:length(fit_ls)) %dofuture% {
        emmeans(fit_ls[[ind2]],em_eq,type="response",lmer.df="satterthwaite")}
names(fit_em) <- names(fit_ls)

fit_em_contrasts <- lapply(fit_em,function(x){
    contrast_dat <- data.frame(x$emmeans)
    contrast_dat$Group <- with(contrast_dat,paste(Study,get(outc2),sep="."))
    contrast_mat <- diag(nrow(contrast_dat))
    rownames(contrast_mat) <- colnames(contrast_mat) <- contrast_dat$Group
    contrast_ls <- list(
      "STOP/SCOPE (non-cases)"=contrast_mat[paste0("STOP.",preg_out_label[1]),]-contrast_mat[paste0("SCOPE.",preg_out_label[1]),],
      "STOP/SCOPE (Cases)"=contrast_mat[paste0("STOP.",preg_out_label[2]),]-contrast_mat[paste0("SCOPE.",preg_out_label[2]),],
      "Cases/non-cases (SCOPE)"=contrast_mat[paste0("SCOPE.",preg_out_label[2]),]-contrast_mat[paste0("SCOPE.",preg_out_label[1]),],
      "Cases/non-cases (STOP)"=contrast_mat[paste0("STOP.",preg_out_label[2]),]-contrast_mat[paste0("STOP.",preg_out_label[1]),])
    names(contrast_ls) <- c("STOP/SCOPE (non-cases)",paste0("STOP/SCOPE (",outc2,")"),
                 paste0(outc2,"/non-cases (SCOPE)"),paste0(outc2,"/non-cases (STOP)"))
    contrast_out <- contrast(x$emmeans,method=contrast_ls)
    return(contrast_out)})
Prolactin
Study f39_gdm_new response SE df lower.CL upper.CL
SCOPE non-GDM 111.0154 8.681308 96.52335 95.05499 129.6557
STOP non-GDM 101.0402 7.521753 79.44826 87.12606 117.1765
SCOPE GDM 102.8206 12.570919 488.73126 80.86360 130.7395
STOP GDM 108.6664 9.407853 142.31669 91.57354 128.9498
HPL
Study f39_gdm_new response SE df lower.CL upper.CL
SCOPE non-GDM 92.79956 2.631487 208.5170 87.75417 98.13503
STOP non-GDM 100.16214 2.580611 143.9125 95.18905 105.39505
SCOPE GDM 89.90620 4.703155 855.7065 81.13321 99.62781
STOP GDM 103.60960 3.630797 403.1080 96.71224 110.99886
GH2
Study f39_gdm_new response SE df lower.CL upper.CL
SCOPE non-GDM 2.447434 0.0797623 643.5290 2.295715 2.609181
STOP non-GDM 2.348242 0.0646686 403.7659 2.224493 2.478876
SCOPE GDM 2.244898 0.1698300 1454.2571 1.935300 2.604024
STOP GDM 2.502546 0.1064317 815.6024 2.302116 2.720426
Insulin
Study f39_gdm_new response SE df asymp.LCL asymp.UCL
SCOPE non-GDM 16.13732 0.9237574 Inf 14.42466 18.05332
STOP non-GDM 12.27648 0.5729224 Inf 11.20340 13.45235
SCOPE GDM 27.63445 3.3537549 Inf 21.78451 35.05531
STOP GDM 15.99781 1.1514391 Inf 13.89299 18.42153
HOMA.IR
Study f39_gdm_new response SE df asymp.LCL asymp.UCL
SCOPE non-GDM 3.941501 0.2407589 Inf 3.496775 4.442789
STOP non-GDM 2.576228 0.1260619 Inf 2.340629 2.835541
SCOPE GDM 7.264465 1.0212704 Inf 5.514904 9.569060
STOP GDM 3.432514 0.2659047 Inf 2.948986 3.995322
GLUC3_mmol.L
Study f39_gdm_new response SE df asymp.LCL asymp.UCL
SCOPE non-GDM 5.455388 0.0606409 Inf 5.337820 5.575546
STOP non-GDM 4.732806 0.0383650 Inf 4.658206 4.808600
SCOPE GDM 5.997698 0.3022740 Inf 5.433572 6.620392
STOP GDM 4.855922 0.0646889 Inf 4.730775 4.984380

62.1.4.2 Comparisons

Prolactin
contrast ratio SE df lower.CL upper.CL p.value
STOP/SCOPE (non-cases) 0.910 0.048 2134.356 0.821 1.009 0.073 ns
STOP/SCOPE (f39_gdm_new) 1.057 0.121 1848.804 0.845 1.322 0.628 ns
f39_gdm_new/non-cases (SCOPE) 0.926 0.094 1760.115 0.760 1.129 0.448 ns
f39_gdm_new/non-cases (STOP) 1.075 0.057 2124.426 0.969 1.193 0.170 ns
HPL
contrast ratio SE df lower.CL upper.CL p.value
STOP/SCOPE (non-cases) 1.079 0.030 2146.493 1.022 1.140 0.007 **
STOP/SCOPE (f39_gdm_new) 1.152 0.065 1454.099 1.031 1.288 0.012 *
f39_gdm_new/non-cases (SCOPE) 0.969 0.046 1008.430 0.882 1.064 0.509 ns
f39_gdm_new/non-cases (STOP) 1.034 0.030 2143.118 0.978 1.094 0.238 ns
GH2
contrast ratio SE df lower.CL upper.CL p.value
STOP/SCOPE (non-cases) 0.959 0.038 2093.891 0.888 1.036 0.293 ns
STOP/SCOPE (f39_gdm_new) 1.115 0.095 1805.358 0.944 1.317 0.201 ns
f39_gdm_new/non-cases (SCOPE) 0.917 0.067 1602.268 0.794 1.059 0.239 ns
f39_gdm_new/non-cases (STOP) 1.066 0.042 2020.496 0.986 1.152 0.110 ns
Insulin
contrast ratio SE df asymp.LCL asymp.UCL p.value
STOP/SCOPE (non-cases) 0.761 0.055 Inf 0.660 0.877 0.0002 ***
STOP/SCOPE (f39_gdm_new) 0.579 0.081 Inf 0.440 0.762 <0.0001 ***
f39_gdm_new/non-cases (SCOPE) 1.712 0.202 Inf 1.358 2.159 <0.0001 ***
f39_gdm_new/non-cases (STOP) 1.303 0.089 Inf 1.139 1.491 0.0001 ***
HOMA.IR
contrast ratio SE df asymp.LCL asymp.UCL p.value
STOP/SCOPE (non-cases) 0.654 0.050 Inf 0.562 0.760 <0.0001 ***
STOP/SCOPE (f39_gdm_new) 0.473 0.075 Inf 0.346 0.646 <0.0001 ***
f39_gdm_new/non-cases (SCOPE) 1.843 0.255 Inf 1.405 2.418 <0.0001 ***
f39_gdm_new/non-cases (STOP) 1.332 0.098 Inf 1.153 1.540 0.0001 ***
GLUC3_mmol.L
contrast ratio SE df asymp.LCL asymp.UCL p.value
STOP/SCOPE (non-cases) 0.868 0.013 Inf 0.843 0.893 <0.0001 ***
STOP/SCOPE (f39_gdm_new) 0.810 0.040 Inf 0.734 0.893 <0.0001 ***
f39_gdm_new/non-cases (SCOPE) 1.099 0.061 Inf 0.987 1.225 0.086 ns
f39_gdm_new/non-cases (STOP) 1.026 0.013 Inf 1.001 1.052 0.043 *

62.1.4.3 Barplots

62.1.5 Comparisons by Timepoint

Prolactin
contrast ratio SE df lower.CL upper.CL p.value
STOP/SCOPE (non-cases)|10wks 0.910 0.048 2134.356 0.821 1.009 0.073 ns
STOP/SCOPE (f39_gdm_new)|10wks 1.057 0.121 1848.804 0.845 1.322 0.628 ns
f39_gdm_new/non-cases (SCOPE)|10wks 0.926 0.094 1760.115 0.760 1.129 0.448 ns
f39_gdm_new/non-cases (STOP)|10wks 1.075 0.057 2124.426 0.969 1.193 0.170 ns
STOP/SCOPE (non-cases)|16wks 0.910 0.048 2134.356 0.821 1.009 0.073 ns
STOP/SCOPE (f39_gdm_new)|16wks 1.057 0.121 1848.804 0.845 1.322 0.628 ns
f39_gdm_new/non-cases (SCOPE)|16wks 0.926 0.094 1760.115 0.760 1.129 0.448 ns
f39_gdm_new/non-cases (STOP)|16wks 1.075 0.057 2124.426 0.969 1.193 0.170 ns
16wks/10wks (non-cases)|SCOPE 2.234 0.140 2126.990 1.976 2.526 <0.0001 ***
16wks/10wks (f39_gdm_new)|SCOPE 2.234 0.140 2126.990 1.976 2.526 <0.0001 ***
16wks/10wks (non-cases)|STOP 2.234 0.140 2126.990 1.976 2.526 <0.0001 ***
16wks/10wks (f39_gdm_new)|STOP 2.234 0.140 2126.990 1.976 2.526 <0.0001 ***
HPL
contrast ratio SE df lower.CL upper.CL p.value
STOP/SCOPE (non-cases)|10wks 1.079 0.030 2146.493 1.022 1.140 0.007 **
STOP/SCOPE (f39_gdm_new)|10wks 1.152 0.065 1454.099 1.031 1.288 0.012 *
f39_gdm_new/non-cases (SCOPE)|10wks 0.969 0.046 1008.430 0.882 1.064 0.509 ns
f39_gdm_new/non-cases (STOP)|10wks 1.034 0.030 2143.118 0.978 1.094 0.238 ns
STOP/SCOPE (non-cases)|16wks 1.079 0.030 2146.493 1.022 1.140 0.007 **
STOP/SCOPE (f39_gdm_new)|16wks 1.152 0.065 1454.099 1.031 1.288 0.012 *
f39_gdm_new/non-cases (SCOPE)|16wks 0.969 0.046 1008.430 0.882 1.064 0.509 ns
f39_gdm_new/non-cases (STOP)|16wks 1.034 0.030 2143.118 0.978 1.094 0.238 ns
16wks/10wks (non-cases)|SCOPE 5.598 0.189 2130.600 5.240 5.982 <0.0001 ***
16wks/10wks (f39_gdm_new)|SCOPE 5.598 0.189 2130.600 5.240 5.982 <0.0001 ***
16wks/10wks (non-cases)|STOP 5.598 0.189 2130.600 5.240 5.982 <0.0001 ***
16wks/10wks (f39_gdm_new)|STOP 5.598 0.189 2130.600 5.240 5.982 <0.0001 ***
GH2
contrast ratio SE df lower.CL upper.CL p.value
STOP/SCOPE (non-cases)|10wks 0.959 0.038 2093.891 0.888 1.036 0.293 ns
STOP/SCOPE (f39_gdm_new)|10wks 1.115 0.095 1805.358 0.944 1.317 0.201 ns
f39_gdm_new/non-cases (SCOPE)|10wks 0.917 0.067 1602.268 0.794 1.059 0.239 ns
f39_gdm_new/non-cases (STOP)|10wks 1.066 0.042 2020.496 0.986 1.152 0.110 ns
STOP/SCOPE (non-cases)|16wks 0.959 0.038 2093.891 0.888 1.036 0.293 ns
STOP/SCOPE (f39_gdm_new)|16wks 1.115 0.095 1805.358 0.944 1.317 0.201 ns
f39_gdm_new/non-cases (SCOPE)|16wks 0.917 0.067 1602.268 0.794 1.059 0.239 ns
f39_gdm_new/non-cases (STOP)|16wks 1.066 0.042 2020.496 0.986 1.152 0.110 ns
16wks/10wks (non-cases)|SCOPE 4.641 0.222 2163.793 4.226 5.097 <0.0001 ***
16wks/10wks (f39_gdm_new)|SCOPE 4.641 0.222 2163.793 4.226 5.097 <0.0001 ***
16wks/10wks (non-cases)|STOP 4.641 0.222 2163.793 4.226 5.097 <0.0001 ***
16wks/10wks (f39_gdm_new)|STOP 4.641 0.222 2163.793 4.226 5.097 <0.0001 ***
Insulin
contrast ratio SE df asymp.LCL asymp.UCL p.value
STOP/SCOPE (non-cases)|10wks 0.761 0.055 Inf 0.660 0.877 0.0002 ***
STOP/SCOPE (f39_gdm_new)|10wks 0.579 0.081 Inf 0.440 0.762 <0.0001 ***
f39_gdm_new/non-cases (SCOPE)|10wks 1.712 0.202 Inf 1.358 2.159 <0.0001 ***
f39_gdm_new/non-cases (STOP)|10wks 1.303 0.089 Inf 1.139 1.491 0.0001 ***
STOP/SCOPE (non-cases)|16wks 0.761 0.055 Inf 0.660 0.877 0.0002 ***
STOP/SCOPE (f39_gdm_new)|16wks 0.579 0.081 Inf 0.440 0.762 <0.0001 ***
f39_gdm_new/non-cases (SCOPE)|16wks 1.712 0.202 Inf 1.358 2.159 <0.0001 ***
f39_gdm_new/non-cases (STOP)|16wks 1.303 0.089 Inf 1.139 1.491 0.0001 ***
16wks/10wks (non-cases)|SCOPE 1.144 0.097 Inf 0.968 1.352 0.113 ns
16wks/10wks (f39_gdm_new)|SCOPE 1.144 0.097 Inf 0.968 1.352 0.113 ns
16wks/10wks (non-cases)|STOP 1.144 0.097 Inf 0.968 1.352 0.113 ns
16wks/10wks (f39_gdm_new)|STOP 1.144 0.097 Inf 0.968 1.352 0.113 ns
HOMA.IR
contrast ratio SE df asymp.LCL asymp.UCL p.value
STOP/SCOPE (non-cases)|10wks 0.654 0.050 Inf 0.562 0.760 <0.0001 ***
STOP/SCOPE (f39_gdm_new)|10wks 0.473 0.075 Inf 0.346 0.646 <0.0001 ***
f39_gdm_new/non-cases (SCOPE)|10wks 1.843 0.255 Inf 1.405 2.418 <0.0001 ***
f39_gdm_new/non-cases (STOP)|10wks 1.332 0.098 Inf 1.153 1.540 0.0001 ***
STOP/SCOPE (non-cases)|16wks 0.654 0.050 Inf 0.562 0.760 <0.0001 ***
STOP/SCOPE (f39_gdm_new)|16wks 0.473 0.075 Inf 0.346 0.646 <0.0001 ***
f39_gdm_new/non-cases (SCOPE)|16wks 1.843 0.255 Inf 1.405 2.418 <0.0001 ***
f39_gdm_new/non-cases (STOP)|16wks 1.332 0.098 Inf 1.153 1.540 0.0001 ***
16wks/10wks (non-cases)|SCOPE 1.121 0.101 Inf 0.939 1.337 0.206 ns
16wks/10wks (f39_gdm_new)|SCOPE 1.121 0.101 Inf 0.939 1.337 0.206 ns
16wks/10wks (non-cases)|STOP 1.121 0.101 Inf 0.939 1.337 0.206 ns
16wks/10wks (f39_gdm_new)|STOP 1.121 0.101 Inf 0.939 1.337 0.206 ns
GLUC3_mmol.L
contrast ratio SE df asymp.LCL asymp.UCL p.value
STOP/SCOPE (non-cases)|10wks 0.868 0.013 Inf 0.843 0.893 <0.0001 ***
STOP/SCOPE (f39_gdm_new)|10wks 0.810 0.040 Inf 0.734 0.893 <0.0001 ***
f39_gdm_new/non-cases (SCOPE)|10wks 1.099 0.061 Inf 0.987 1.225 0.086 ns
f39_gdm_new/non-cases (STOP)|10wks 1.026 0.013 Inf 1.001 1.052 0.043 *
STOP/SCOPE (non-cases)|16wks 0.868 0.013 Inf 0.843 0.893 <0.0001 ***
STOP/SCOPE (f39_gdm_new)|16wks 0.810 0.040 Inf 0.734 0.893 <0.0001 ***
f39_gdm_new/non-cases (SCOPE)|16wks 1.099 0.061 Inf 0.987 1.225 0.086 ns
f39_gdm_new/non-cases (STOP)|16wks 1.026 0.013 Inf 1.001 1.052 0.043 *
16wks/10wks (non-cases)|SCOPE 0.990 0.019 Inf 0.954 1.027 0.598 ns
16wks/10wks (f39_gdm_new)|SCOPE 0.990 0.019 Inf 0.954 1.027 0.598 ns
16wks/10wks (non-cases)|STOP 0.990 0.019 Inf 0.954 1.027 0.598 ns
16wks/10wks (f39_gdm_new)|STOP 0.990 0.019 Inf 0.954 1.027 0.598 ns

62.1.5.1 Barplots by Timepoint

62.1.5.2 Plots for GA